Desired Skills and Experience
- Develop and maintain an AWS code deployment pipeline for the Analytics Office
- Deploy and administer systems to perform such tasks as scheduling, access management, resource scaling and orchestration
- Deploy and administer systems for production support of Analytics Office production environments
- Experience transitioning from an on premise to cloud based architecture
- Write infrastructure as code with Cloud Formation and/or Teraform
- Support Analytics assets such as dashboards and machine-learning processes in AWS
- Help develop AWS POCs
- Provide subject matter expertise on DevOps principles
- Knowledge in running business intelligence and analytics applications within AWS
- BS or MS in Computer Science, Software Engineering, or similar
- Experience as DevOps engineer in a scalable production environment (4+ years)
- Knowledge of Linux systems administration and architecture (2+ years)
- Proficient working with Amazon Web Services (AWS) like EC2, EBS, ELB, S3, and Cloudfront in a highly available and scalable production environment (3+ years)
- Experience developing and maintaining infrastructure-as-code with Cloud Formation or Terraform (2+ years)
- Experience with Python and shell scripting (3+)
- Experience with configuration management using such tools as Ansible (preferred), Puppet, Salt,or Chef. (4+ years)
- Experience with Jenkins or other CICD scheduler (1-2+ years)
- AWS certification (DevOps, SysOps, Cloud Architect) a plus.